o3 vs WizardLM 2 8x22B

Compare o3 and WizardLM 2 8x22B: pricing, performance, context window, latency, and best use cases. Side-by-side comparison on XALEN.

Updated 2026-05-21 · By Abhishek Raj · Our methodology

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Feature o3 WizardLM 2 8x22B
CategoryReasoningOpen Source
Parameters~1T176B (22B active)
Context Window200K65K
Input Price$0.10/1M tokens$0.04/1M tokens
Output Price$0.40/1M tokens$0.08/1M tokens
Latency~2000ms~350ms

Choose o3 when:

  • ✓ Complex calculations
  • ✓ Multi-factor analysis
  • ✓ Research-grade work
Key Strengths:

Extended thinking, Complex logic, Mathematical reasoning

Choose WizardLM 2 8x22B when:

  • ✓ Complex instructions
  • ✓ Math tasks
  • ✓ Structured output
Key Strengths:

Strong instruction following, Good math, MoE efficient

Verdict: o3 vs WizardLM 2 8x22B

For cost efficiency, WizardLM 2 8x22B wins at $0.04/1M input tokens. For speed, o3 is faster at ~2000ms. o3 excels at Complex calculations while WizardLM 2 8x22B is better for Complex instructions. Both are available on XALEN through a single API — try them in the Playground to see which fits your workload.

Detailed Analysis

Pricing Comparison

o3 costs $0.10/1M input tokens and $0.40/1M output tokens. WizardLM 2 8x22B costs $0.04 input and $0.08 output. WizardLM 2 8x22B is 2.5x cheaper on input tokens. XALEN offers batch processing at 50% discount on both models.

Performance & Context

o3 has a 200K context window with ~2000ms latency. WizardLM 2 8x22B offers 65K context at ~350ms. o3 has the larger context window.

Best For

o3 (Reasoning) is optimized for: Complex calculations, Multi-factor analysis, Research-grade work. WizardLM 2 8x22B (Open Source) works best for: Complex instructions, Math tasks, Structured output.

Try Both on XALEN

Both models are available through XALEN's OpenAI-compatible API. Switch between them by changing the model parameter:

from xalen import XALEN

client = XALEN(api_key="xln_test_YOUR_KEY")

# Use o3
response_a = client.chat.completions.create(
    model="o3",
    messages=[{"role": "user", "content": "Your question here"}]
)

# Use WizardLM 2 8x22B
response_b = client.chat.completions.create(
    model="wizardlm-2-8x22b",
    messages=[{"role": "user", "content": "Your question here"}]
)

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Frequently Asked Questions

Which is better, o3 or WizardLM 2 8x22B?

o3 (Reasoning, ~1T) offers Extended thinking. WizardLM 2 8x22B (Open Source, 176B (22B active)) offers Strong instruction following. Choose o3 for Complex calculations or WizardLM 2 8x22B for Complex instructions.

How much does o3 cost vs WizardLM 2 8x22B?

o3: $0.10/1M input, $0.40/1M output. WizardLM 2 8x22B: $0.04/1M input, $0.08/1M output. Both available on XALEN with batch processing at 50% discount.

Can I use both models on XALEN?

Yes. XALEN provides 200+ models through a single OpenAI-compatible API. Switch between o3 and WizardLM 2 8x22B by changing the model parameter. No code changes needed.

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Last updated: 2026-05-21. Pricing and specifications may change. Check pricing page for latest rates.